AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service Course
Create advanced AI models using Azure OpenAI
8 hours of training with 4 updated modules
Microsoft certified Azure OpenAI certification
Learn from industry practitioners with enterprise AI expertise
Improve ROI via production-ready generative AI deployments
Access enterprise-focused and on-site training options
4.9/55865 EnrolledEnrolled Learners
4.9/55865 EnrolledEnrolled Learners
Overview
What our training includes:
- Master Azure OpenAI architectures for enterprise generative AI solutions
- Build secure language, code and image AI workloads
- Deploy base models using Azure OpenAI Studio
- Integrate generative AI via REST APIs and SDKs
- Upskill cross-functional teams with production-ready AI capabilities
- Maximize ROI through optimized Azure OpenAI deployments
- Reduce downtime using resilient cloud-native AI designs
- Gain flexible enterprise and workplace-based training options
Upcoming sessions
Curriculum
1
Describe Azure Open AI workloads and access the Azure Open AI Service
2
Understand generative AI models
3
Understand Azure Open Ai's language, code, and image capabilities
4
Understand Azure Open Ai's responsible AI practices and limited access policies
1
Create an Azure Open AI Service resource and understand types of Azure Open AI base models
2
Use the Azure Open AI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds
3
Generate completions to prompts and begin to manage model parameters
1
Integrate Azure Open AI into your application
2
Differentiate between the different endpoints available to your application
3
Generate completions to prompts using the REST API and language-specific SDKs
1
Understand the concept of prompt engineering and its role in optimising Azure Open AI models' performance
2
Know how to design and optimise prompts to better utilise AI models
3
Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses
Meet your Trainer
Our Trainer
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completing this course, your teams will:
1
Understand Azure OpenAI Service workloads, access models and enterprise generative AI use cases
2
Create Azure OpenAI Service resources and select appropriate Azure OpenAI base models
3
Deploy base models using Azure OpenAI Studio, console and test playground environments
4
Integrate Azure OpenAI into applications using REST API endpoints and language-specific SDKs
5
Implement responsible AI practices and limited access policies within Azure OpenAI Service deployments
6
Apply prompt engineering techniques to optimize Azure OpenAI model performance and response quality
7
Upskill teams through workplace learning and in-house training options
8
Improve ROI by standardizing team-wide Azure OpenAI competencies and reducing deployment downtime
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
Before enrolling in the AI-050T00 Course, the eligibility requirements are as follows:
- Familiarity with Azure and the Azure portal
- Experience in programming with C# or Python
Overall ratings by our students
Related courses
Frequently asked questions
The AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service course helps organizations with practical capabilities to design, deploy and manage generative AI workloads using Azure OpenAI Service. It focuses on Azure OpenAI workloads, access governance, generative AI models, and language, code and image capabilities aligned to enterprise requirements.
This course enables teams to create Azure OpenAI Service resources, deploy base models through Azure OpenAI Studio, integrate solutions using REST APIs and SDKs and apply prompt engineering techniques. These competencies improve operational efficiency, compliance alignment, reduced downtime and measurable ROI through standardized and production-ready AI implementations.
Before enrolling in the AI-050T00 Course, the organizational teams will require to follow certain eligibility criteria. These are as follows:
1. Having a familiarity with Azure and the Azure portal
2. Having an experience in programming with C# or Python
Our training is perfect for IT workplace personnel or professionals eager to advance the world of AI or advance their career in AI. These include:
1. Software developers and data scientists
2. AI/ML engineers working with NLP
3. Cloud professionals looking to implement AI on Azure
4. Technical leaders or solution architects exploring generative AI use cases
There are several core topics covered in the AI-050T00 course. These are spread into four specialised modules and taught by the expert trainers. These are as follows:
1. Introduction to Azure OpenAI and workload types
2. Language, code and image model capabilities
3. Prompt design and fine-tuning techniques
4. Use cases like chat completion, summarisation and translation
5. Responsible AI implementation
6. Deploying AI models via REST APIs and SDKs
After earning the AI-050T00 certification, your workplace personnel can avail several in-demand career opportunities in the fast-growing field of artificial intelligence. Through this certification, your workforce can upskill their ability to build, integrate and deploy generative AI models using Azure OpenAI tools. These job roles are:
1. AI Developer or Generative AI Engineer
2. Azure AI Solutions Architect
3. Machine Learning Engineer
4. AI Consultant
5. Prompt Engineer
6. Cloud AI Developer
7. Data Scientist in AI Innovation
Our AI-050T00 Certification is in high demand in the field of AI as it validates the professionals’ ability to deliver scalable AI solutions using Microsoft Azure tools. Also there are several more reasons. These reasons are:
1. Azure is a leading cloud AI platform used by enterprises globally
2. Generative AI is now central to automation and digital transformation
3. Microsoft and OpenAI partnership makes this skill set relevant
Yes, our institute, Learners Point delivers enterprise and workplace-based delivery models aligned with organizational schedules. This includes:
- In-house team training programs
- Workplace-based learning delivery
- Cohort-based enterprise upskilling
- Alignment with active Azure projects
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
